Efficient search strategies for non-myopic sensor scheduling in target tracking

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn 2, Issue , 2004, Pages 2106-2110

  Chhetri, Amit S ^a   Morrell, Darryl ^a   Papandreou Suppappola, Antonio ^a  

^a AZ 85281   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COSTS; FOURIER TRANSFORMS; OPTIMIZATION; SCHEDULING; TRACKING (POSITION);

BREADTH-FIRST SEARCH (BFS); PRUNING; TARGET TRACKING; UNIFORM COST SEARCH (UCS);

SENSORS;

EID: 21644489975     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. A. Chhetri, D. Morrell, and A. Papandreou-Suppappola, "Scheduling multiple sensors using particle filters in target tracking," in Proceedings IEEE Statistical and Signal Processing Workshop, (St. Louis, MO), pp. 529-532, September 2003.
2. C. Kreucher, K. Kastella, and A. Hero, "A Bayesian method for integrated multitarget tracking and sensor management," in Proc. of 6th Int. Conf. on Information Fusion, pp. 704-712, 2003.
3. H. Wang, K. Yao, G. Pottie, and D. Estrin, "Entropy-based sensor selection heuristic for target tracking localization," in Inf. Proc. in Sensor Networks, pp. 36-45, 2004.
4. R. Korf, CRC Handbook of Algorithms and Theory of Computation, ch. Artificial intelligence search algorithms, pp. 36.1 - 36.20. Boca Raton, FL: CRC Press, 1998.
5. R. Battiti and G. Tecchiolli, "The reactive tabu search," ORSA Journal on Computing, pp. 126-140, 1994.
6. A. Logothetis and A. Isaksson, "On sensor scheduling via information theoretic criteria," in Proceedings of the American Control Conference, vol. 4, pp. 2402-2406, 1999.
7. V. Gupta, T. Chung, B. Hassibi, and R. M. Murray, "Sensor scheduling algorithms requiring limited computation," in IEEE Int. Conf. on Acoustic, Speech and Sig. Proc, (Montreal, Canada), pp. 17-21, 2004.
8. A. Chhetri, D. Morrell, and A. Papandreou-Suppappola, "The use of particle filtering with the unscented transform to schedule sensors multiple steps ahead," in IEEE International Conference on Acoustic, Speech and Signal Processing, (Montreal, Canada), pp. 301-304, May 2004.
9. M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. on Signal Processing, vol. 50, pp. 174-188, February 2002.
10. A. Logothetis, A. Isaksson, and R. Evans, "An information theoretic approach to observer path design for bearings-only tracking," in Proc. of the IEEE Conf. on Decision and Control, pp. 3132-3137, 1997.
11. S. Jullier and J. Uhlmann, "Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations," in Proceedings of the American Control Conference, vol. 2, pp. 887-892, 2002.
12. D. Applegate, R. Bixby, V. Chvatal, and W. Cook, "On the solution of traveling salesman problems," Documenat Mathematica J. DMV, pp. 645-656, 1998.